dc.contributor.author |
Walimuni, Hasindu |
|
dc.date.accessioned |
2024-05-06T05:18:21Z |
|
dc.date.available |
2024-05-06T05:18:21Z |
|
dc.date.issued |
2023 |
|
dc.identifier.citation |
Walimuni, Hasindu (2023) Stress Detection Using Voice And Suggest Relaxation Methods. BSc. Dissertation, Informatics Institute of Technology |
en_US |
dc.identifier.issn |
2018491 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/2115 |
|
dc.description.abstract |
I developed an Android mobile application capable of real-time stress detection through voice analysis. This application utilizes sophisticated algorithms to precisely identify the stress levels based on the voice patterns. Upon determining stress levels, the application offers personalized recommendations for relaxation techniques, aiming to assist users in reducing stress and enhancing overall well-being. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
Stress detection |
en_US |
dc.subject |
Voice analysis |
en_US |
dc.subject |
Deep learning |
en_US |
dc.title |
Stress Detection Using Voice And Suggest Relaxation Methods |
en_US |
dc.type |
Thesis |
en_US |